🤖 Microsoft’s $80 Billion AI Infrastructure Investment

Subscribe | AI Toolkit | Meet The Team

Welcome back AI enthusiasts!

In today’s Daily Report:

• 🚜Microsoft’s $80 Billion AI Infrastructure Investment

• ⚙️Google DeepMind Tackles AI’s “Peak Data” Problem

• 📈AI-Related Job Titles Have Tripled Since 2022

• 🛠Trending Tools

• 💰Funding Frontlines

• 💼Who’s Hiring?

Read Time: 3 minutes

🗞RECENT NEWS

MICROSOFT

🚜Microsoft’s $80 Billion AI Infrastructure Investment

Microsoft revealed plans to invest $80 billion into building data centers that house AI Clusters to power advanced AI applications.

Key Details:

• Over half of the $80 billion will be focused on building data centers in America to gain an edge over Chinese competitors.

• Vice Chair and President of Microsoft Brad Smith outlined a three-part vision for America’s AI success:

  1. Investing in AI Infrastructure

  2. Exporting American AI to Allies and Friends

  3. Skilling Programs to Promote Widespread AI Adoption

• An AI Cluster combines the power, storage, and memory of GPUs to train, develop, and deploy advanced AI applications.

Why It’s Important:

• These data centers reduce compute constraints for the company’s developers, allowing them to power advanced AI applications.

• This investment enables Microsoft to build bigger, better, and faster AI models with excellent scalability, flexibility, and performance.

🩺 PULSE CHECK

GOOGLE DEEPMIND

⚙️Google DeepMind Tackles AI’s “Peak Data” Problem

Google DeepMind has found a new approach to overcome data limitations when training AI models.

Key Details:

• OpenAI’s former Chief Scientist Ilya Sutskever recently explained: “We’ve achieved peak data, and there’ll be no more.”

• AI firms have already used all the useful data available on the internet to train AI models. “We’ve hit a data wall,” added Sutskever.

• To solve this issue, Google DeepMind developed Test-Time Compute, which allocates more computing power during AI Inference: everything that happens after you enter your prompt.

• This process allows AI models to “think harder” on complex problems by exploring multiple ways to answer your prompt. It achieves this by breaking down your prompt into smaller tasks.

• Now, Google DeepMind is using these smaller tasks as new training data in a process known as the Iterative Self-Improvement Loop.

Why It’s Important:

• All the useful data on the internet has already been used to train AI models. Also, all high-quality data could be exhausted by 2026.

• Test-Time Compute and the Iterative Self-Improvement Loop are Google DeepMind’s innovative approaches to overcome data limitations when training AI models.

AI TRENDS

📈AI-Related Job Titles Have Tripled Since 2022

ZoomInfo, a platform to find, acquire, and grow customers, published a report showcasing how AI-related job titles across industries, sectors, and skill levels have tripled since 2022.

The Key Takeaways Include:

• AI-related job titles in leadership roles are three times (i.e., 3x) more prevalent than before:

  1. AI-based Managers are up 174% from 1,894 to 5,208.

  2. AI-based Directors are up 197% from 1,264 to 3,756.

  3. AI-based Executives are up 428% from 81 to 428.

The term “Engineer” is associated with 48% of AI-specific job titles, followed by similar technical disciplines such as “Researcher,” “Developer,” or “Scientist.”

🛠TRENDING TOOLS

🔬CureAI streamlines your scientific research.

📊UniDeck creates personalized dashboards in minutes.

📋MirWork turns any job listing on LinkedIn into a mock interview.

👷Visionari collects, analyzes, and acts on user feedback for you.

🎙️GitPodcast transforms a GitHub repository into an engaging podcast.

🔮Browse our always Up-To-Date AI Tools Database.

💰FUNDING FRONTLINES

• Rembrand closes a $23M Funding Round to offer AI-powered virtual product placements.

• Cimulate AI secures a $28M Series A to help brands connect with and convert potential buyers.

• Accel raises a $650M Early-Stage Fund for startups in India and Southeast Asia to acquire AI talent.

💼WHO’S HIRING?

• Visa (Austin, TX): Software Engineer Intern, Summer 2025

• Fastly (San Francisco, CA): Software Engineer Intern, Summer 2025

• Groq (Palo Alto, CA): AI Application Engineering Intern, Summer 2025

• Meta (Burlingame, CA): Embedded Software Engineer Intern, Summer 2025

• NVIDIA (Santa Clara, CA): Technical Marketing Intern, 3D Pipeline and Tech Art, Summer 2025

🤖PROMPT OF THE DAY

USER FEEDBACK

🧾Creating a User Feedback Survey

You’re an expert Marketing Research Analyst at [Small Business] with [Product or Service] in [Industry]. Your task is to craft an engaging, insightful, and effective User Feedback Survey tailored for [Target Audience] to achieve [Primary Goal]. Focus on structuring clear, relevant, and concise questions that promote honest and actionable responses.

Small Business = [Insert Here]

Product or Service = [Insert Here]

Industry = [Insert Here]

Target Audience = [Insert Here]

Primary Goal = [Insert Here]

📒FINAL NOTE

FEEDBACK

❤️TAIP Review of The Day

REFER & EARN

🎉Your Friends Learn, You Earn!

You currently have 0 referrals, only 1 away from receiving ⚙️Ultimate Prompt Engineering Guide.

Refer 3 friends to learn how to 👷‍♀️Build Custom Versions of OpenAI’s ChatGPT.

Copy and paste this link to friends: https://theaipulse.beehiiv.com/subscribe?ref=PLACEHOLDER